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  <doc>
    <id>2442</id>
    <completedYear>2023</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>6</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
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    <belongsToBibliography>0</belongsToBibliography>
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    <title language="eng">Development of a Neural Network for Automatic Classification of Post-Consumer Wood Using Rapid-FLIM</title>
    <abstract language="eng">The economic use of wood is a growing sector, not only because of the significant advantage of wood to retain CO 2 . It is crucial to increase the material recycling of wood in several lifecycles, but currently, there is no reliable post-consumer wood sorting technique in line. This research measures 365 post-consumer wood samples of classes A1-4 four times with the frequency domain fluorescence lifetime imaging microscopy (FD-FLIM) subset method rapid fluorescence lifetime imaging microscopy (Rapid-FLIM). The data is analyzed on their statistical features. Four neural networks based on Multilayer perceptron are then trained and tested with twelve statistical features extracted from the Rapid-FLIM images. The best model for this application contains the optimizer RMSprop, the activation function SELU and the loss function binary crossentropy. The best model of this structure could achieve a false positive ratio of 4.79 % over the ten folds.</abstract>
    <parentTitle language="eng">2023 IEEE Sensors Applications Symposium (SAS)</parentTitle>
    <identifier type="doi">10.1109/SAS58821.2023.10254174</identifier>
    <enrichment key="opus.import.data">@inproceedingsleiter_development_2023, title = Development of a Neural Network for Automatic Classification of Post-Consumer Wood Using Rapid-FLIM, doi = 10.1109/SAS58821.2023.10254174, booktitle = 2023 IEEE Sensors Applications Symposium (SAS), author = Leiter, Nina and Dietlmeier, Maximilian and Wohlschläger, Maximilian and Löder, Martin G.J. and Versen, Martin and Laforsch, Christian, year = 2023, keywords = fluorescence, Fluorescence, Microscopy, Neural networks, MLP, Current measurement, Feature extraction, Loss measurement, Post-consumer wood classification, Rapid-FLIM, Rapid-Fluorescence Lifetime Imaging Microscopy, Time measurement, pages = 01–06,</enrichment>
    <enrichment key="opus.import.dataHash">md5:32f666ffd4ce419dce9463823190d772</enrichment>
    <enrichment key="opus.import.date">2024-05-27T12:38:19+00:00</enrichment>
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    <enrichment key="opus.import.id">66547ebb787039.90003661</enrichment>
    <author>Nina Leiter</author>
    <author>Maximilian Dietlmeier</author>
    <author>Maximilian Wohlschläger</author>
    <author>Martin G.J. Löder</author>
    <author>Martin Versen</author>
    <author>Christian Laforsch</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>fluorescence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fluorescence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Microscopy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Neural networks</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>MLP</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Current measurement</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Feature extraction</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Loss measurement</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Post-consumer wood classification</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Rapid-FLIM</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Rapid-Fluorescence Lifetime Imaging Microscopy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Time measurement</value>
    </subject>
  </doc>
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